基于改进乌燕鸥算法的分布式电源优化配置

对分布式电源(DG)接入配电网进行合理规划配置，能够在兼顾运营商和用户利益的同时，提高系统电压稳定性。在考虑经济指标的情况下，提出了一种新的系统电压增强指标，改善了系统整体电压分布。建立了多目标优化模型，利用层次分析法确定各目标函数的权重，进而转化成单目标函数规划问题。针对乌燕鸥算法全局搜索能力较强和局部搜索能力较弱的缺点，提出了一种新颖的改进乌燕鸥算法。将遗传算法的变异思想融入其中，进行DG的优化配置，提高了收敛速度和收敛精度。通过算例验证了改进的乌燕鸥算法对改善系统电压分布效果明显，所建立的模型有很好的实际意义。

Optimal configuration of distributed power generation based on an improved sooty tern optimization algorithm

Reasonable planning and configuration of distributed power generation (DG) accessing the distribution network can improve system voltage stability while taking into account the interests of operators and users. In this paper, considering economic indicators, a new system voltage enhancement indicator is proposed to improve the overall voltage distribution of the system. A multi-objective optimization model is established, and an analytic hierarchy process is used to determine the weight of each objective function, which is then transformed into a single objective function programming problem. Given the problem that the sooty tern optimization algorithm has relatively strong global search ability but its local search ability is weak, a novel and improved sooty tern optimization algorithm is proposed. It incorporates the genetic algorithm''s mutation idea and optimizes the configuration of DG. This improves convergence speed and accuracy. The calculation example verifies that the improved sooty tern optimization algorithm has a good effect on improving the system voltage distribution, and the established model has good practical significance. This work is supported by the Key Research and Development Program of Shandong Province (No. 2019GGX103049).